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Mohan Ops

Case studiesFurniture retailClient system

Canvas + Loft

Close rates the sales floor sees the same day, not at month end

Sales performance at Canvas + Loft was discussed from memory at the end of the month. Scoreboard lets each salesperson keep their own score daily, measured against the real foot traffic coming through the door.

Client
Canvas + Loft
Product
Scoreboard
Industry
Furniture retail

15 min

foot-traffic refresh from the door counter

2022

how far back the traffic history goes

0

managers in the rankings: the leaderboard is salespeople only

Where the store stands against the month goal, today, with the pace it needs to hit it.

The problem

Good salespeople, and no score anyone could check.

Ups, sales and closes were talked about from memory at the end of the month, when it was too late to change anything. Nobody knew how many people had actually walked in, so a close rate was a feeling rather than a number.

  • Performance came up monthly, from memory
  • Close rates were never measured against real foot traffic
  • Compiling month-end figures fell to managers, by hand

How it fits together

  • Daily numbers from salespeople
  • Door counter, every 15 min
  • Goals and shifts
The system Scoreboard
  • Leaderboard and awards
  • TV scoreboard
  • Coaching insights
Salespeople enter their own numbers. The door counter fills in the traffic. Managers hold no quota and never appear in the rankings.

What it does

01Rolling out

Keep your own score

Built on the 4DX idea that people play differently when they keep score themselves. Each salesperson enters their own ups, sales and closes every day, against goals set per person.

  • Daily entry
  • Goals per person
  • Leaderboard
02Rolling out

Real foot traffic

The store door count feeds in every 15 minutes, with history back to 2022, so close rates are measured against people who actually walked in.

  • Door counter
  • 15 min feed
03Rolling out

Awards and coaching

Monthly awards such as best close rate, plus AI coaching insights drawn from each person's own numbers.

  • Monthly awards
  • AI insights
04Rolling out

Shifts and TV view

A shift roster and scheduling for the floor, and a TV scoreboard view for the showroom. Roles come from Connect, so salesperson, manager and admin are set once.

  • Shift roster
  • TV view
  • Connect roles

Inside Scoreboard

Awards

Monthly, quarterly and yearly titles, with past winners. Nobody claims a title halfway through.

Schedule

Shifts against sales, so a thin Tuesday and a busy Saturday are staffed on purpose.

Real screens from the live system. Names, figures and personal details are blurred.

The impact

A score the floor can act on today.

Measured items come from the system itself. Projected items are our estimate, with the assumption stated, until the client confirms a figure. Staging is verified; production rollout is pending client sign-off.

What the sales floor sees once numbers are entered daily and traffic comes in every 15 minutes.

Visibility and effort
Hours compiling month-end numbers 4 0.5 Days until close rate is known 30 0 Salespeople who see their pace daily (%) 0 100
BeforeWith Scoreboard
Manager hours saved, cumulativehours
42 31.5 21 10.5 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Assumes managers spent 3 to 4 hours a month compiling figures by hand.

Projected figures. They are our estimate for a business of this size, with the assumptions written under each number below. We replace them with measured results as clients confirm them.

Measured

Monthly → 15 min

between traffic updates behind every close rate

Performance was discussed from memory once a month. The door counter now feeds Scoreboard every 15 minutes.

Measured

1 → 1

the person who makes the sale is the person who records it

Salespeople enter their own daily numbers. Managers hold no quota and do not appear in the rankings.

Projected

~3.5 hrs

of manager time saved each month at month end

Assumes managers spend 3 to 4 hours a month compiling performance figures by hand. Scoreboard keeps the running totals.

Under the hood

  • Node.js
  • PostgreSQL
  • React
  • Google Sheets
  • Railway
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